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| 研究生： |
林雨翾 Lin, Yu-Hsuan |
|---|---|
| 論文名稱： |
漂浮與沉澱：中高齡者與 AI 共創繪本歷程中的作者性、創作能動性與社會性 Floating and Settling: Authorship, Creative Agency, and Social Life in Later-Life Adults’ Human-AI Picture Book Co-Creation |
| 指導教授： |
侯宗佑
Hou, Tsung-Yu 紀名德 Chi, Ming-Te |
| 口試委員: |
黃揚名
Huang, Yang-Ming |
| 學位類別： |
碩士
Master |
| 系所名稱： |
傳播學院 - 數位內容碩士學位學程 Digital Content and Technologies |
| 論文出版年： | 2026 |
| 畢業學年度： | 114 |
| 語文別： | 英文 |
| 論文頁數： | 114 |
| 中文關鍵詞： | 中高齡者 、生成式 AI 、人機共創 、作者性 、創作能動性 、圖文繪本 、人機互動 |
| 外文關鍵詞： | later-life adults, generative AI, human-AI co-creation, authorship, creative agency, picture book, human-computer interaction |
| 相關次數： | 點閱：7 下載：0 |
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敘事在中高齡研究與人機互動領域中佔有重要位置，長期被視為長者維繫自我認同、調節情緒並傳承生命經驗的重要途徑。生成式 AI 的出現改變了故事的產製與作者歸屬方式：當系統回傳一段完整的文字或圖像，故事的作者性隨之變得模糊。過往在此交會處的研究，多聚焦於長者如何適應既有的敘事輔助系統，較少深入探討其作為主動敘事者與生成科技之間的動態協商。本研究以此為出發點，立足於中高齡者作為主動創作者的立場，探究在人機共創歷程中，創作作者性與主體能動性是如何被協商與重塑的。
為在具體情境中考察此一歷程，本研究開發了建置於 LINE 通訊平台上的對話式聊天機器人「小繪」（Hue），結合大型語言模型與文字生圖技術，並以結構化提示詞與對話鷹架支持敘事建構與視覺共創。我們招募 25 位中高齡者（51 至 75 歲）參與實體共創工作坊，透過小繪將個人記憶從初始發想發展為一本可供分享的圖文繪本。研究採質性主導的混合研究方法，蒐集人機互動日誌、工作坊當日與一週後的半結構化訪談，以及科技接受度問卷。分析採雙層架構：第一層以雙軸行為象限模型描繪參與者在創作歷程中的動態軌跡，第二層則對訪談資料進行反思性主題分析。
本研究提出「漂浮與沉澱」（Floating and Settling）概念架構。「漂浮」指涉穿梭於輸出無法被完全預期的系統中時，那種尚未安頓的懸置與摸索；「沉澱」則是創作意圖終於尋得相應具體形式的節點。組織全篇的核心洞見為一種觀點上的翻轉：許多被參與者初期視為個人操作挫折的片段，恰恰是作者性得以被重新鍛造與重申的關鍵所在。
本研究提出三項主要貢獻：第一，提供中高齡者與生成式 AI 共創時協商作者性的實證紀錄；第二，提出「漂浮與沉澱」的概念語彙，將生成系統的不確定性重新界定為激發創作與作者性的催化條件；第三，據此提出設計意涵：支持中高齡者的創作能動性須接納具建設性的摩擦，預先過度保護反而不利於真實的作者性投入。
Storytelling supports identity maintenance and emotion regulation in aging, but generative AI complicates narrative ownership. Departing from deficit-based views, this thesis investigates how older adults negotiate creative agency and authorship during human-AI co-creation.
We developed Hue, a LINE-based conversational chatbot pairing an LLM with text-to-image generation. Twenty-five Taiwanese older adults (aged 51–75) used Hue to turn personal memories into illustrated picture books. Through a mixed-methods approach combining a behavioral quadrant model and thematic analysis, we evaluated interaction logs, reflection interviews, and acceptance questionnaires.
We propose the framework of Floating and Settling, demonstrating how generative uncertainty ("floating") paradoxically becomes the catalyst for participants to solidify intent ("settling") and reclaim authorship. This thesis contributes: (1) an empirical account of late-life AI co-creation dynamics; (2) a conceptual framework reframing generative uncertainty as a creative catalyst; and (3) design guidelines emphasizing productive friction over preemptive insulation to foster agency.
誌謝 i
摘要 iii
Abstract v
1 Introduction 1
2 Literature Review 4
2.1 The Meaning and Impact of Storytelling for Later-Life Adults 5
2.1.1 Storytelling as a Tool for Identity Reconstruction and Self-Worth 6
2.1.2 Cognitive Flexibility and Emotional Benefits of Storytelling 6
2.1.3 The Social Value of Storytelling 7
2.2 The Role of Technology in Later-Life Adults’ Storytelling Practices 8
2.2.1 Creative Support through Technological Media 9
2.2.2 Later-Life Adults as Passive Participants in Storytelling Systems 10
2.2.3 The Role of Multimedia Cues in Narrative Construction 11
2.3 Challenges and Needs of Later-Life Adults as Active Storytellers 12
2.3.1 Challenges in Selecting Content and Constructing Narratives 12
2.3.2 Lack of Listener Engagement and Narrative Motivation 13
2.3.3 Ethical Tensions and the Need for Emotional Support 14
2.4 Later-Life Adults’ Challenges and Support in AI-Assisted Storytelling 15
2.4.1 Learning Challenges and the Digital Divide 16
2.4.2 Maintaining Narrative Agency through Interaction Design 17
2.4.3 Targeted Training and Sustained Support Mechanisms 18
3 Methods 20
3.1 The Storytelling Chatbot 20
3.1.1 System Overview 20
3.1.2 System Architecture and Design Rationale 22
3.1.3 Prompt Design and Dialogue Consistency 23
3.1.4 Image Generation and Data Infrastructure 24
3.2 Workshop-Based Co-Creation of Illustrated Picture Books 25
3.2.1 Participant Recruitment 26
3.2.2 Workshop Preparation and Procedure 28
3.2.3 Research Design and Data Collection 30
3.2.4 Analytic Approach 32
4 Findings 35
4.1 Data Overview 35
4.2 Analytic Framework 36
4.3 Layer One: Dynamic Patterns of Creative Interaction in the Interaction Logs 40
4.3.1 Constructing the Quadrant Framework 40
4.3.2 The Dual-Axis Framework of Creative Interaction 43
4.3.3 Dynamic Trajectories of Movement Across the Creative Process 47
4.4 Layer Two: Thematic Analysis of the Interview Data 51
4.4.1 Theme 1: Negotiating Creative Authority 52
4.4.2 Theme 2: Creative Empowerment through AI 60
4.4.3 Theme 3: Storied Sociality 65
4.5 The Interweaving of the Two Analytic Layers 71
5 Discussion 75
5.1 Floating and Settling: A Conceptual Framework for Understanding the Co-Creative Experience 75
5.2 Rethinking the Distribution of Authority in Human-AI Co-Creation 80
5.3 AI as a Mediating Scaffold for Creative Agency in Later Life 83
5.4 Textual Circulation and Boundary Management in Everyday Networks 86
5.5 Design Implications 88
5.6 Limitations and Future Directions 90
6 Conclusion 95
A Appendix 97
Appendix: Interview Question Tables 97
1 Behavioral Quadrant Assignments 97
2 Questionnaire Instrument 98
3 Reflection Interview 103
References 105
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